Department Research Seminar: Quantile, Quantile Regression, Bayesian Inference, Change Point Detection and Renewable Algorithm for Streaming Data

The Department of Mathematics, Statistics and Insurance (MSI) was pleased to organise a research seminar titled “Quantile, Quantile Regression, Bayesian Inference, Change Point Detection and Renewable Algorithm for Streaming Data” on 9 March 2023. We are delighted to have Prof. Keming Yu, a Research Professor of MSI to share his research topic.

Prof. Yu first introduced the basic idea of quantiles, which can give some information about the shape of a distribution. Quantiles are important summary statistics in data analysis and time series applications. He then showed various applications of quantile regression and Bayesian quantile regression. He also applied regression to change-point detection and streaming data problems. Finally, he shared some research advances under quantile regression. Academic staff of the Department participated in the seminar and actively shared their views on the topic.

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Prof. Keming Yu shared his research topic with academic staff of the Department and students.

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